Insight XR
  • Introduction to InsightXR
  • The Challenge in XR Training
  • InsightXR Solution
  • Setup
    • Opening and Preparing the Project in Unity
    • Integrating with InsightXR Dashboard
    • Attaching Tracking Scripts
    • Adding Custom Events
    • Trainer
  • AI
  • Demonstrating InsightXR with a Case Study
  • Dashboard Overview
  • Additional Resources
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AI

AI in InsightXR: Leveraging Multimodal AI for Enhanced XR Analytics

InsightXR’s artificial intelligence (AI) component is at the forefront of technological innovation in XR training analytics. Utilizing state-of-the-art multimodal AI, which includes advanced visual AI capabilities, InsightXR offers an unparalleled depth of analysis and insight into trainee performance and engagement.

Multimodal AI and Visual Analysis

  1. Scene Replay with Transforms: InsightXR employs transforms to replay training scenarios, capturing the essence of each session. This replayability feature is crucial for thorough post-session analysis.

  2. Data Capture from Multiple Angles: By utilizing data from multiple camera angles within the XR environment, InsightXR ensures a comprehensive visual capture of each training session. This multi-angle approach provides a 360-degree view of trainee interactions and behaviors.

  3. Integration with Visual Language Models: The captured visual data is then fed into sophisticated visual language models. These models are adept at analyzing complex visual inputs, allowing them to assess key performance features like attention and engagement.

  4. Comparative Analysis with Trainer’s Recordings: The AI compares trainee performance with previously recorded trainer sessions. By benchmarking against these standards, the AI can precisely identify areas where trainees excel or require additional focus.

Leveraging Language Models for Insights

  1. Parsing Logs with LLMs: Large Language Models (LLMs) are employed to parse through extensive interaction logs. These models extract meaningful insights from textual data, translating them into understandable and actionable information.

  2. Custom Dashboard Events: The insights derived from LLMs contribute to the generation of custom events on the dashboard. These events are tailored to highlight significant moments or trends in the training, providing trainers with a focused view of key performance indicators.

Proprietary AI Model: Focused on Safety and Privacy

  1. Custom-Built AI: InsightXR's AI model is proprietary, designed specifically for XR environments. This customization ensures that the AI is finely tuned to the unique demands and nuances of XR training.

  2. Emphasis on Safe AI: Recognizing the critical importance of safety in AI applications, especially in training scenarios that might simulate sensitive or hazardous conditions, InsightXR’s AI is developed with a strong emphasis on safety. This ensures that the AI’s decisions and analyses are reliable and trustworthy.

  3. Commitment to Privacy: In line with global standards and regulations, InsightXR's AI operates with a strict adherence to privacy principles. Ensuring that all data is handled securely and ethically is a cornerstone of the platform, aligning with the broader commitment to responsible AI usage.


In conclusion, InsightXR’s AI represents a blend of technological sophistication and ethical responsibility. By leveraging multimodal AI, including advanced visual and language processing capabilities, InsightXR offers an analytics solution that is not only powerful and insightful but also safe and privacy-conscious. This AI-driven approach sets InsightXR apart as a leader in XR training analytics, providing users with a tool that is both cutting-edge and trustworthy.

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Last updated 1 year ago

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